Sarah Al-Challabi | Plasma Additive manufacturing | Best Researcher Award

Posted on by sciencefather

Ms. Sarah Al-Challabi | Plasma Additive manufacturing | Best Researcher Award

Ph.D. Candidate, Universiti Teknologi PETRONAS (UTP), Iraq

Sarah Najm Al-Challabi is a passionate and innovative researcher currently pursuing her Ph.D. in Mechanical Engineering at Universiti Teknologi PETRONAS (UTP), Malaysia. Her work lies at the intersection of advanced materials and manufacturing technologies, with a strong emphasis on additive manufacturing processes such as Plasma Additive Manufacturing (PAM) and Wire Arc Additive Manufacturing (WAAM). She has developed expertise in optimizing the performance of critical materials including Stainless Steel 316L and Oxide Dispersion Strengthened (ODS) alloys—materials that are vital to high-temperature and nuclear applications. Sarah’s commitment to scientific excellence is evident in her multidisciplinary approach, which bridges experimental research with computational modeling, aiming to contribute durable, efficient, and sustainable solutions to global engineering challenges.

Profile

Orcid

Education 🎓

Sarah’s academic trajectory showcases her deep commitment to research and knowledge. She earned her Master’s degree in Mechanical Engineering Technology from Universiti Tun Hussein Onn Malaysia (UTHM) in February 2019, where she cultivated strong analytical and practical engineering skills. Currently, she is undertaking her Ph.D. in Mechanical Engineering at Universiti Teknologi PETRONAS (UTP), which she began in January 2022. Her doctoral research builds upon her foundational knowledge to explore cutting-edge manufacturing processes and material innovations, particularly those relevant to energy and nuclear sectors.

Experience 🛠️

Since beginning her doctoral journey, Sarah has held the role of Ph.D. Candidate at UTP’s Department of Mechanical Engineering. Her research role involves not only laboratory experimentation but also the use of advanced modeling and simulation tools such as Thermo-Calc, ABAQUS, Simufact Additive, and Simufact Welding. She has been deeply involved in evaluating microstructural stability, analyzing failure mechanisms, and improving the structural performance of additively manufactured materials. Through academic collaboration, publishing, and attending scholarly events, Sarah continues to contribute meaningfully to the broader research community.

Research Interests 🔬

Sarah’s research focuses on the future of manufacturing and material science, specializing in Plasma Additive Manufacturing (PAM) and Wire Arc Additive Manufacturing (WAAM). She works with materials like Stainless Steel 316L and Oxide Dispersion Strengthened (ODS) alloys, with applications in nuclear reactors and high-temperature environments. Her research also explores microstructural stability and phase transformations to improve material performance. Sarah aims to enhance the structural integrity and thermal properties of advanced materials, driving more efficient and sustainable industrial solutions.

Publications 📚

Friction Stir Welding of Similar and Dissimilar Al and Cu Lap Joints: Effect of Work Piece Material on Conductive Welding Speed Window, Weld Strength and Hardness
Advances in Mechanical Engineering (2024) – Cited by 1 article

Design and Failure Analysis of a Vacuum Pressure Vessel for Aerospace Applications Using Finite Element Analysis (FEA)
Engineering, Technology & Applied Science Research (2024) – Cited by 1 article

Progress in Additive-Enhanced Magnesium Borohydride Mg(BH₄)₂ for Hydrogen Storage Applications: A Systematic Review
International Journal of Hydrogen Energy (2024) – Cited by 1 article

Progresses in Improving Mechanical Properties of Maraging Steel MS1 Through Laser Additive Manufacturing for Renewable Energy Application
Springer Nature Singapore (2023) – Cited by 2 articles

Conclusion 

Sarah Najm Al-Challabi exemplifies the essence of emerging academic excellence and professional dedication in mechanical engineering. Her unique blend of theoretical insight and practical research into additive manufacturing positions her at the forefront of innovation in materials science. Through her published work, technical expertise, and unwavering focus on solving industry-relevant challenges, she continues to expand the boundaries of engineering research. As a nominee, Sarah’s profile reflects a dynamic scholar equipped with the intellect, vision, and determination to impact the future of technology-driven manufacturing. Her journey stands as a testament to the value of perseverance, collaboration, and scientific curiosity in shaping tomorrow’s engineering landscape.

Umar Farooq | Mechanical Engineering | Best Researcher Award

Posted on by sciencefather

Dr. Umar Farooq | Mechanical Engineering | Best Researcher Award

Research associate, Zhejiang University, China

Dr. Umar Farooq is a dedicated researcher in Applied Mathematics, with specialization in fluid mechanics, biomechanics, neural networks, and energy systems. His extensive research portfolio demonstrates a command over complex simulations and modeling techniques that target biomedical and industrial applications. Known for his interdisciplinary insight and scientific rigor, he has authored multiple high-impact publications as first and corresponding author. His academic path is defined by international collaboration, progressive research, and technical innovation rooted in real-world relevance.

Profile 

Orcid

Education 🎓

Dr. Farooq received his PhD in Mathematics (2020–2024) from COMSATS University Islamabad, where he focused on the numerical simulation of non-similar boundary layer equations in bioconvection fluids. His doctoral work integrated fluid mechanics with AI-based computational tools, offering new perspectives in thermal and biological fluid systems. He completed his MS in Mathematics (2017–2019) from the same institution, working on waveguide reflection fields. He earned his BS (Hons) in Mathematics from Government College University Faisalabad (2013–2017), establishing a strong base in analytical methods. His earlier academic background includes Pre-Engineering from Government Post Graduate College Jhang and secondary education in the sciences from The Nation Boys Higher Secondary School Jhang.

Experience 💼

Dr. Farooq has a well-rounded portfolio of academic and research roles. He served as a Research Fellow at Zhejiang University, China, working at the State Key Laboratory of Fluid Power & Mechatronic Systems under funded projects from NSFC and Zhejiang province. He also engaged in research collaboration with Taif University, Saudi Arabia, advancing developments in mechanical and thermal systems. He has worked as a Research Associate (2021–2024), Lecturer (2019–2020), and Teaching Assistant (2017–2019) at COMSATS University Islamabad, contributing to both teaching and high-level research. His experience is further strengthened by skills in advanced simulation tools including MATLAB, ANSYS, COMSOL, Star CCM+, and Python.

Research Interests 🔬

Dr. Umar Farooq’s research focuses on modeling nanofluid behavior in fluid mechanics and biomechanics, particularly for industrial and biomedical applications. He integrates artificial neural networks (ANNs), CNNs, and RNNs to enhance prediction and analysis in fluid systems. His work in thermal analysis improves heat transfer in electronics and vehicles, while his contributions to energy systems support the use of nanofluids in renewable technologies. He also explores industrial applications, optimizing energy and flow efficiency in various engineering domains.

Awards 🏆

Dr. Farooq was awarded the Punjab Educational Endowment Fund (PEEF) scholarship during his MS at COMSATS University. He was also selected for prestigious international research fellowships at Zhejiang University, supported by major national science foundations. These honors reflect his academic excellence and potential for future scientific contributions.

Publications 📚

MHD stagnation point flow of Casson hybrid nanofluid with bioconvection… (2025, International Journal of Heat and Mass Transfer) – Cited by [X articles].

Aircraft Thermal Enhancement via TiO₂/SiO₂ Nanofluids… (2025, Solar Energy Materials and Solar Cells) – Cited by [X articles].

Thermal analysis of Reiner-Philippoff fluid flow… (2025, Journal of Thermal Analysis and Calorimetry) – Cited by [X articles].

Radiative-Dissipative Effects on Bioconvective MHD Flow… (2025, Journal of Biological Physics) – Cited by [X articles].

Non-similar analysis of bioconvection MHD micropolar nanofluid… (2024, Applied Water Science) – Cited by [X articles].

Boundary Layer Analysis of Magnetic Nanofluid Flow… (2024, BioNanoScience) – Cited by [X articles].

Computational simulations of radiative magnetic micropolar nanofluid… (2024, International Journal of Ambient Energy) – Cited by [X articles].

Conclusion 

Dr. Umar Farooq exemplifies the integration of mathematical precision and engineering innovation. His contributions span theoretical modeling, computational simulations, and machine learning applications in dynamic fluid systems. Through academic diligence and cross-disciplinary collaboration, he has emerged as a promising figure in modern applied mathematics. With a trajectory pointing toward continuous growth and innovation, Dr. Farooq remains committed to using his expertise for both academic enrichment and practical impact in science and technology.

Yunxiao Li | Water Carbon Cycling | Best Researcher Award

Posted on by sciencefather

Dr. Yunxiao Li | Water Carbon Cycling | Best Researcher Award

Associate Professor, Shanxi Agricultural University, China

Yunxiao Li is an esteemed Associate Professor at Shanxi Agricultural University, with a specialization in environmental science and a focus on river carbon cycling. With a Ph.D. in environmental science from Ocean University of China, he has dedicated his research to understanding the intricate dynamics of water carbonate systems. His work spans critical regions in China, including Jiaozhou Bay, Yellow River, and Fenhe River. Dr. Li’s contributions to environmental science have been instrumental in uncovering the impacts of ecological restoration and human activities on carbon cycles in coastal and river systems. His interdisciplinary approach has earned him recognition both within China and globally, making him a prominent figure in the field.

Profile

Scopus

 Education🎓

Dr. Yunxiao Li obtained his Doctorate in Environmental Science from Ocean University of China in 2018. During his academic journey, he laid the groundwork for his expertise in coastal and riverine biogeochemistry. His research throughout his doctoral studies focused on understanding carbon dynamics in aquatic ecosystems, particularly in areas impacted by urbanization and ecological changes. This strong educational foundation has propelled him toward groundbreaking research in carbon cycling processes, ecological restoration, and environmental sustainability.

Experience 💼 

Dr. Li has garnered extensive experience in both academic research and applied environmental science. As an Associate Professor at Shanxi Agricultural University, he has contributed significantly to the advancement of knowledge in environmental science. His leadership in research projects, such as water pollution source analysis and ecological restoration in the Fenhe River, showcases his ability to combine academic rigor with practical solutions. Furthermore, Dr. Li has served as a Topic Editor for reputable journals such as Frontiers in Marine Science and Sustainability, where his expertise guides the discussion on critical environmental issues. His involvement in numerous high-impact research projects has cemented his role as a leader in environmental science.

Research Interests🔬

Dr. Yunxiao Li’s research primarily revolves around coastal biogeochemistry and river carbon cycling. His work explores how ecological restoration and anthropogenic factors, such as wastewater discharge, influence carbon dynamics in aquatic environments. By studying the Yellow River, Fenhe River, and Jiaozhou Bay, Dr. Li has gained valuable insights into the control mechanisms of CO₂ fluxes in semi-arid regions. He is also dedicated to understanding how carbon cycles in coastal systems can be altered by both natural processes and human intervention, ultimately aiming to enhance environmental sustainability.

Publications Top Note📚

Wang, G., Yao, X., Zhang, Z., Li, Y., & Fan, W. (2024). “Effect of jujube orchard abandonment time on soil properties and enzyme activities at soil profile in the Loess Plateau.” Scientific Reports.

Li, Y., Dang, J., Huang, X., Bai, J., & Chen, X. (2024). “The response of carbonate system to watershed urbanization process in a semi-arid river.” Journal of Ocean University of China.

Conclusion🌍

Dr. Yunxiao Li’s academic journey and extensive research on river and coastal carbon cycles have positioned him as a leading expert in the field of environmental science. His work in areas like the Jiaozhou Bay and Fenhe River is integral to understanding the effects of human activity on carbon dynamics in aquatic ecosystems. As he continues to innovate in the areas of ecological restoration and environmental sustainability, Dr. Li remains committed to driving meaningful change in the management and preservation of water resources. His leadership in both research and academia ensures that his contributions will have a lasting impact on the field.

Asen Asenov | Electric Mobility | Best Researcher Award

Posted on by sciencefather

Prof. Asen Asenov | Electric Mobility | Best Researcher Award

Asen Asenov, University of Ruse, Bulgaria

Professor Asen Tsvetanov Asenov is a distinguished academic at the University of Ruse “Angel Kanchev” in Bulgaria, where he has dedicated over two decades to education, research, and academic leadership. His career has been marked by a strong focus on transport management, logistics, and sustainable mobility, and he has held various significant roles, including Dean of the Faculty of Transport and Head of the Department of Transport. A recognized expert in modern transport challenges, Professor Asenov has made valuable contributions to research on low-carbon energy solutions and hybrid vehicle technologies.

Profile

Scholar

📚 Education

Professor Asenov’s educational background is rooted in Mechanical Engineering in Transport, which he pursued at the University of Ruse “Angel Kanchev” (1992-1997). He further advanced his expertise with a Doctoral degree in “Automobiles, Tractors, and Trucks” (2001-2005). His academic pursuits were complemented by professional training in accounting at the D. Tsenov Economic Academy in Svishtov (1997). These qualifications laid the foundation for his long-standing career in education, research, and academic leadership.

💼 Experience

With extensive experience both in academia and industry, Professor Asenov has advanced through several key roles at the University of Ruse. He began his career as an Assistant Professor in 2004, later progressing to Associate Professor and Deputy Chairman of the General Assembly of the Faculty of Transport. From 2021 to 2023, he served as Dean of the Faculty of Transport, further demonstrating his leadership and organizational capabilities. Professor Asenov has also provided consultancy services to various municipalities, where he contributed to the development of urban transport systems, the creation of low-emission zones, and the improvement of traffic management. His work in this area has enabled him to bridge the gap between research and practical solutions in transportation.

🧑‍🔬 Research Interests

Professor Asenov’s research interests span several critical areas in transportation, including green transport technologies, multimodal and intermodal transport systems, and environmental sustainability. He has been actively involved in the development of hybrid vehicles powered by electricity and hydrogen, with a particular focus on energy efficiency and pollution reduction. His projects frequently explore the integration of green technologies into urban transport systems to address challenges such as air pollution, energy consumption, and traffic congestion.

📖 Publications Top Note

Asenov, A. (2019). “Optimization of freight road transport in urban conditions.” Springer Nature, ISBN: 978-3-030-11511-1.

Pencheva, V., Asenov, A. (2020). “Research on the state of urban passenger mobility in Bulgaria.” Springer Nature, ISBN: 978-3-030-42322-3.

Pencheva, V., Asenov, A., Sladkowski, A. (2022). “Current Issues of Multimodal and Intermodal Cargo Transportation.” Springer Science, ISBN: 978-3-030-87119-2.

Asenov, A., Pencheva, V. (2023). “Transport and Logistics.” University of Ruse Press, ISBN: 978-954-712-900-9.

Pencheva, V., Asenov, A. (2022). “The Danube River, Multimodality, and Intermodality.” Springer Nature, ISBN: 978-3-030-11511-1.

Asenov, A., Pencheva, V. (2019). “Modern Challenges in Urban Transport Systems.” University of Ruse Publishing, ISBN: 978-954-712-792-0.

Pencheva, V., Asenov, A. (2019). “Policies in Road Traffic Safety.” University of Ruse Publishing, ISBN: 978-954-712-761-6.

🌍 Conclusion

Professor Asenov’s career exemplifies a commitment to academic excellence, practical innovation, and societal impact. Through his leadership, research, and collaboration with industry stakeholders, he has played a crucial role in shaping the development of sustainable and efficient transport systems. His work on green technologies and low-carbon transport solutions continues to make significant strides in addressing the environmental challenges facing urban transport. Asenov remains a leading figure in the global transport community, with an unwavering dedication to creating a sustainable and energy-efficient future for transportation.

 

 

 

Emanuela Marcenaro | Immuno-oncologia | Best Academic Researcher Award

Posted on by sciencefather

Prof. Dr. Emanuela Marcenaro | Immuno-oncologia | Best Academic Researcher Award

Full Porfessor of Histology, DIMES-University of Genoa, Italy

Marcenaro E. is a distinguished researcher and educator at the Department of Experimental Medicine at the University of Genoa, Italy. She leads a prominent group in the laboratory of Molecular Immunology, where her scientific focus centers on human natural killer (NK) cells, a critical immune subset for combating cancer. Her research examines the effects of age on NK cell immune checkpoints, particularly their role in tumor immunity across various age groups. Over the years, Prof. Marcenaro has significantly advanced our understanding of NK cell-tumor interactions, contributing to the development of targeted therapies. Notably, her discoveries on inhibitory and activating NK receptors have paved the way for clinical trials and treatments currently used in clinical practice.

Profile

Scopus

Education 🎓

Prof. Marcenaro’s academic journey began at the University of Genoa, where she earned her Master’s degree in Biology in 1997, graduating summa cum laude. She further pursued her studies and completed a Specialization in Clinical Pathology in 2002, also achieving the highest distinction of summa cum laude. Over the years, she has demonstrated profound expertise in cellular and molecular immunology, as well as oncoimmunology, culminating in a highly successful career as an educator and researcher.

Experience 💼

With over two decades of teaching and research experience, Prof. Marcenaro has held several significant roles. She is currently a Full Professor at the University of Genoa in the field of Cytology, Histology, Embryology, and Immunology. Additionally, she serves as a member of key committees, including the Technology Transfer Commission and the Strategic Center SRV, where she works on projects related to risk, safety, and security studies. From 2018 to 2022, she was an Associate Professor at the same institution, during which she was also a member of the Executive Committee of the Medical School and contributed greatly to the overall management of the department. Her dedication to academic development and collaboration has earned her the respect of peers and students alike.

Research Interests 🔬

Prof. Marcenaro’s research interests focus on NK cells and their role in immune surveillance against tumors. Her work spans various areas of immunology, including the mechanisms of tumor escape, NK cell recruitment to tumor sites, and immune checkpoint regulation. Her lab has also pioneered investigations into NK cell dysfunction in chronic diseases and cancer, particularly focusing on how cytokine regulation and NK cell receptors influence cancer progression and immune responses. These insights have implications for immunotherapy, a field in which Prof. Marcenaro is an active contributor, seeking to improve treatment outcomes through targeted immunological interventions.

Publication Top Note 📚

“Identification of a novel cord blood NK cell subpopulation expressing functional programmed death receptor-1” (Front Immunol, 2023)

“NKG2A and HLA-E define an alternative immune checkpoint axis in bladder cancer” (Cancer Cell, 2022)

“Post-Transplant Nivolumab Plus Unselected Autologous Lymphocytes in Refractory Hodgkin Lymphoma” (Front Immunol, 2021)

“Untimely TGFB responses in COVID-19 limit antiviral functions of NK cells” (Nature, 2021)

“Different Features of Tumor-Associated NK Cells in Patients With Peritoneal Carcinomatosis” (Front Immunol, 2020)
Her work has been cited extensively, with a H-index of 57 and over 10,984 citations (Scopus), underlining the global influence of her research.

Conclusion 🌟

Prof. Marcenaro’s career is a testament to her dedication to scientific excellence, collaboration, and education. Through her research on NK cells and immune checkpoints, she continues to make groundbreaking contributions to cancer immunotherapy. Her work not only enhances our understanding of immune responses in cancer but also shapes future therapeutic strategies, particularly in immunotherapy. Her leadership at the University of Genoa, along with her ongoing commitment to advancing the field of immunology, solidifies her reputation as a leading figure in biomedical research.

Akshaya Kumar Mandal | Machine learning | Best Researcher Award

Posted on by sciencefather

Dr. Akshaya Kumar Mandal | Machine learning | Best Researcher Award

Research Scholar, Assam University, India

Dr. Akshaya Kumar Mandal is a highly accomplished academic and researcher in the field of computer science. Currently serving as a Research Fellow at the Department of Computer Science, Assam University, India, he specializes in bio-inspired computing, machine learning, big data analytics, and bioinformatics. His research contributions span various interdisciplinary domains, focusing on solving complex problems in areas like disease detection, classification, and anomaly detection using innovative machine learning techniques. Dr. Mandal has an extensive educational background, holding a Ph.D. in Computer Science, along with M.Phil., M.Tech., and various other degrees, which have paved the way for his notable research career. His work is driven by a passion for developing practical, technology-driven solutions to pressing challenges in healthcare and beyond.

Profile

Education

Dr. Mandal’s academic journey reflects his deep commitment to learning and advancing knowledge in computer science. He obtained his Ph.D. from Assam University in 2024, with a thesis titled “Application of Bio-inspired Computing Techniques in Select Areas of Bioinformatics.” Prior to this, he completed his M.Phil. in Computer Science from F.M. University, Odisha in 2019, focusing on Ant Colony Optimization for solving NP-hard problems. He also holds an M.Tech. degree in Computer Science from Utkal University, Bhubaneswar, earned in 2007, where he conducted research on the comparison of multiple sequence alignment in DNA sequences. His educational foundation was laid with a Bachelor’s in Mathematics & Computer Applications from F.M. University, where he graduated with distinction. Dr. Mandal’s varied and comprehensive academic background has greatly contributed to his expertise in machine learning and bioinformatics.

Experience

Dr. Mandal has over 15 years of experience in teaching, research, and academic leadership. He served as a Senior Lecturer and Assistant Professor in the Department of Computer Science & Engineering at KIST, Bhubaneswar, from 2007 to 2018. During this time, he played a key role in delivering undergraduate and postgraduate courses, contributing to curriculum development, and mentoring students. Prior to this, he held lecturer positions at the Department of IT CET, Bhubaneswar, and the Department of Computer Science at NIIS Bhubaneswar. In addition to his teaching career, Dr. Mandal has an active research profile, with several years of experience as a Research Fellow in prominent institutions like Assam University, F.M. University, and Utkal University. His academic leadership and research endeavors have shaped his career trajectory in academia and research.

Research Interests

Dr. Mandal’s research interests are diverse, yet interconnected through a common theme of leveraging computational intelligence to solve real-world problems. His primary research areas include machine learning, bio-inspired computing, big data analytics, and bioinformatics. His work focuses on using machine learning for pattern recognition, anomaly detection, and disease classification, with applications in healthcare, such as heart disease prediction, skin disease detection, and disease diagnostics. Additionally, Dr. Mandal explores the intersection of biology and computation, particularly through bio-inspired algorithms like Ant Colony Optimization and Particle Swarm Optimization, to develop innovative solutions for bioinformatics problems, including DNA sequence alignment and codon selection. His interdisciplinary research aims to push the boundaries of artificial intelligence and computational biology.

Award

Based on the provided Curriculum Vitae, Dr. Akshaya Kumar Mandal appears to be a highly qualified and accomplished individual in the field of Computer Science, particularly in the areas of machine learning, bio-inspired computing, big data analytics, and bioinformatics. Below is a comprehensive evaluation of Dr. Mandal’s qualifications and contributions that make him a strong candidate for the Best Researcher Award.

Publication

Mandal, A.K., Dehuri, S., & Sarma, P.K.D. (2025). “Analysis of Machine Learning Approaches for Predictive Modeling in Heart Disease Detection Systems.” Biomedical Signal Processing and Control.

Mandal, A.K., & Sarma, P.K.D. (2024). “Usage of Particle Swarm Optimization in Digital Images Selection for Monkeypox Virus Prediction and Diagnosis.” Malaysian Journal of Computer Science.

Mandal, A.K., Sarma, P.K.D., & Dehuri, S. (2023). “A Study of Bio-inspired Computing in Bioinformatics: A State-of-the-art Literature Survey.” The Open Bioinformatics Journal.

Mandal, A.K., Sarma, P.K.D., & Dehuri, S. (2023). “Image-based Skin Disease Detection and Classification through Bioinspired Machine Learning Approaches.” International Journal on Recent and Innovation Trends in Computing and Communication.

Mandal, A.K., Mansur Barbhuiya, N., & Sarma, P.K.D. (2023). “A Hybrid Ant Colony Optimization Algorithm for Human Monkeypox DNA Codon Selection.” Journal of Propulsion Technology.

Mandal, A.K., Sarma, P.K.D., & Dehuri, S. (2024). “A Hybrid Machine Learning Based Cuckoo Search Clustering with Application of Image Recognition Techniques for Tomato Flu Skin Lesion Detection.” Machine Intelligence, Tools, and Applications.

Mandal, A.K., & Dehuri, S. (2020). “A Survey on Ant Colony Optimization for Solving Some of the Selected NP-Hard Problem.” Springer International Publishing.
These publications have been cited in various international articles, reflecting their significant contribution to the fields of machine learning and bioinformatics.

Conclusion

Dr. Akshaya Kumar Mandal’s academic and research journey demonstrates a deep commitment to advancing the field of computer science through innovative research and effective teaching. His work in bio-inspired computing, machine learning, and bioinformatics continues to make a notable impact on healthcare, bioinformatics, and computational biology. With an extensive teaching background and a solid record of research publications, Dr. Mandal is poised to contribute significantly to future developments in his areas of expertise. His passion for solving real-world problems using advanced computational techniques makes him a valuable asset to both academia and the broader scientific community.

Poonam Arora | Quantum Sensing | Best Researcher Award

Posted on by sciencefather

Dr. Poonam Arora | Quantum Sensing | Best Researcher Award

Senior Principal Scientist, CSIR-National Physical Laboratory, India

Dr. Poonam Arora is a distinguished physicist currently serving as Senior Principal Scientist and Head of the Indian Standard Time (IST) Division at CSIR-National Physical Laboratory (CSIR-NPL), India. With a career spanning over two decades, she has made significant contributions to applied optics, atomic clocks, and time dissemination. Her research has been instrumental in advancing high-precision metrology and time standards, impacting both scientific and industrial applications in India. Throughout her career, she has received numerous accolades and awards for her exceptional contributions to science and technology.

Profile

Scopus

Education

Dr. Arora pursued her undergraduate studies in Physics, Mathematics, and Electronics from Kurukshetra University, securing an impressive 84%. She then completed her M.Sc. in Physics from IIT Delhi, achieving a CGPA of 9.154/10. Furthering her expertise, she earned an M.Tech. in Applied Optics from IIT Delhi in 2004 with a perfect 10/10 CGPA, receiving the prestigious Gold Medal for academic excellence. Her doctoral research at the Technical University of Darmstadt, Germany, focused on “Design, Realization, and Applications of Dynamically Controllable Bragg Gratings,” earning her the best grade and a Certificate of Excellence in 2007.

Experience

Dr. Arora has a rich professional background, beginning as a Scientific Coworker at the Technical University of Darmstadt in 2008. She joined CSIR-NPL in 2009 as a Scientist and steadily rose through the ranks to become a Senior Principal Scientist in 2021. Throughout her tenure, she has led groundbreaking research projects in integrated optics, atomic frequency standards, and time dissemination. Her leadership at the IST Division has been pivotal in enhancing India’s time synchronization infrastructure, crucial for scientific, commercial, and defense applications.

Research Interests

Dr. Arora’s research primarily revolves around high-precision metrology, integrated optics, atomic clocks, and time dissemination. She has extensively worked on the development of Cesium Fountain Frequency Standards, uncertainty evaluation of time standards, and novel techniques in precision spectroscopy. Her work plays a crucial role in establishing reliable and accurate timekeeping systems in India, which are essential for finance, telecommunications, and space applications. She is also actively engaged in advancing optical and atomic physics methodologies for improving national and global timekeeping standards.

Award

Dr. Arora’s exemplary work has been recognized with several prestigious awards. She was honored with the Haryana Yuva Vigyan Ratna Award by the Government of Haryana in 2017 for her contributions to science and technology. The same year, she received the CSIR-NPL Technology Award. Her dedication as a researcher earned her the Outstanding Reviewer Award from Elsevier in 2018. She was also a recipient of the CSIR Young Scientist Award in 2012 and the URSI Young Scientist Award in 2011. Additionally, she has been awarded fellowships such as the DFG Fellowship (2004-2007) and the DAAD Fellowship in 2003.

Publication Top Note

High-resolution spectroscopy of Holmium Perchlorate: Establishment of a wavelength standard for spectrophotometers, published in Optics Materials (2023), cited by multiple metrology studies.

Indian Standard Time dissemination over the internet: A study on indigenous time synchronization devices, published in MAPAN – Journal of Metrology Society of India (2021), widely referenced in timekeeping research.

Uncertainty evaluation for frequency calibration of Helium Neon Laser Head: Published in MAPAN – Journal of Metrology Society of India (2021), focusing on Monte Carlo simulation techniques.

Detection and processing of fluorescence from cold atoms in Cesium Fountain Primary Frequency Standard: Published in MAPAN – Journal of Metrology Society of India (2020), cited in atomic timekeeping research.

Importance of accurate and traceable time in financial trading: Published in International Journal of Electrical Engineering (2018), referenced in financial market synchronization.

Necessity of Two Time Zones in India: A policy recommendation study published in Current Science (2018), influencing national discussions on time zone adjustments.

Experimental research on atomic frequency standards in India: Published in Asian Journal of Physics (2016), cited by researchers in atomic physics and metrology.

Conclusion

Dr. Poonam Arora’s contributions to time standards, precision metrology, and applied optics have positioned her as a leading scientist in her field. Her work has significantly improved India’s time dissemination systems, impacting a broad spectrum of industries. Through her leadership at CSIR-NPL, she continues to drive advancements in atomic frequency standards, ensuring India remains at the forefront of global timekeeping research. Her dedication to scientific excellence, combined with her extensive publication record and numerous accolades, highlights her invaluable contributions to physics and metrology.

 

 

Mandana Sadat Ghafourian | Biomedical Engineering | Best Researcher Award

Posted on by sciencefather

Dr. Mandana Sadat Ghafourian | Biomedical Engineering | Best Researcher Award

Biomedical engineering, Ferdowsi University of Mashhad, Iran

Mandana Sadat Ghafourian is a dedicated and accomplished Biomedical Engineer whose academic journey and research contributions have been focused on cutting-edge fields like Machine Learning, Neuroscience, and Signal Processing. Born in Mashhad, Iran, she pursued her higher education with distinction, ranking first in her Bachelor’s program at Sajjad University, and later earning her Master’s degree at Khajeh Nasir University of Technology in Tehran. She is currently a Ph.D. candidate at Ferdowsi University of Mashhad. Her academic excellence is complemented by a significant research trajectory, where she explores the intersection of artificial intelligence with medical applications, specifically focusing on EEG and ECG signals, epilepsy prediction, and brain signal processing.

Profile

Scopus

Education

Mandana’s academic foundation began with a Bachelor of Science degree in Biomedical Engineering from Sajjad University, where she ranked first among 69 students, reflecting her dedication to excellence. She continued her studies with a Master’s degree in Biomedical Engineering from Khajeh Nasir University of Technology, where she further honed her skills in machine learning and biomedical applications. Her research skills were significantly enhanced through a joint scholarship, allowing her to spend a year conducting doctoral research in Neuroscience at the University of Picardy Jules Verne in France. Currently, she is pursuing her Ph.D. in Biomedical Engineering at Ferdowsi University of Mashhad, where her research focuses on EEG signal processing and the use of deep learning techniques for medical diagnoses.

Experience

Mandana has developed a strong teaching and professional background. As a lecturer at Sajjad University since 2018, she has taught a range of courses, including those on brain signal processing, artificial intelligence, bioelectric phenomena, and hospital medical equipment. Her role as a teacher has expanded to developing curricula and offering workshops on various technical topics such as artificial intelligence applications in healthcare. In addition to her teaching duties, she has also worked as a medical equipment specialist at Mashhad University of Medical Sciences, where she gained hands-on experience in the healthcare and medical device sectors. Her professional experience as a technical supervisor further strengthens her capacity to bridge the gap between theoretical research and real-world medical applications.

Research Interests

Mandana’s primary research interests lie in the application of artificial intelligence and machine learning to biomedical engineering. Her work explores the use of deep learning, reinforcement learning, and other AI techniques to address complex problems in neuroscience and medical diagnostics. Notably, she has contributed significantly to research on epilepsy detection, cancer treatment optimization, and stress control using physiological signals like EEG, ECG, and heart rate. She is particularly interested in the development of AI models that can predict medical conditions and control therapies in real time, such as optimizing warfarin dosages for diabetic patients and predicting seizures based on EEG signal analysis.

Award

Mandana’s dedication and academic excellence have earned her several prestigious awards. She ranked first in her undergraduate program, which led to her admission to the Ph.D. program through the Outstanding Talent pathway. Her recognition continued with her selection as a National Elites Foundation scholar in 2019-2020. Additionally, she received the prestigious Eiffel France Scholarship for advanced research in 2019, which allowed her to further expand her international research experience. Furthermore, Mandana’s contributions to the academic community have been recognized through awards for her research presentations, including the Best Poster Award at the 2nd International Razavi Epilepsy Congress.

Publication Top Note

“Optimizing warfarin dosing in diabetic patients through BERT model and machine learning techniques,” The Journal of Computers in Biology and Medicine, 2025.

“Development of Model Predictive Control by Reinforcement Learning to treat Cancer with Mixed of Chemotherapy and Anti-Angiogenic,” Advances in Hematology and Oncology Research, 2025.

“Detection of Epileptic Seizures Using EEG Signal Processing,” The Neuroscience Journal of Shefaye Khatam, 2018.

“Anxiety Control Using Q-Learning,” The Neuroscience Journal of Shefaye Khatam, 2016.

“Breast Cancer Lesion Detection Using Combination Classifiers Based on Ultrasound and Elastography Images,” Information Technology in Engineering Design.

“Seizure Prediction Based on Analysis of Extracting and Selecting EEG Features using Dominant Amplitude and Frequency Components,” The 2nd International Razavi Epilepsy Congress, Best Poster Award.

Conclusion

Mandana Sadat Ghafourian’s academic and professional journey exemplifies her dedication to the fields of Biomedical Engineering and Artificial Intelligence. With a rich background in education, research, and hands-on experience, she continues to make valuable contributions to the medical field. Her research, which bridges neuroscience and AI, holds significant promise for improving diagnostic and therapeutic processes in healthcare. Through her teaching, research, and professional achievements, Mandana is paving the way for future innovations in medical technologies, particularly in the areas of brain signal processing, machine learning, and medical diagnostics.

Workeneh Negassa | UAV-Assisted Wireless Communication | Best Researcher Award

Posted on by sciencefather

Mr. Workeneh Negassa | UAV-Assisted Wireless Communication | Best Researcher Award

Student, Adama Science and Technology, Ethiopia

Workeneh Geleta Negassa is a prominent researcher and Ph.D. candidate in Electronics and Communication Engineering at Adama Science and Technology University, Ethiopia. He is a skilled professional with an extensive background in electronics, communication systems, embedded systems, and signal processing. Throughout his academic and professional journey, he has demonstrated a profound commitment to advancing research in wireless communication, industrial electronics, and UAV-assisted communication networks. His expertise spans several cutting-edge technological domains, which include embedded systems, computer networking, and industrial automation. He has consistently contributed to the field through research, conference presentations, and collaborations with international research teams, gaining recognition for his work in academia and industry.

Profile

Education

Dr. Workeneh Geleta Negassa’s academic journey reflects his commitment to mastering and advancing knowledge in electronics and communication. He began his educational pursuit at Adama University, where he earned his B.Ed. degree in Electrical and Electronics Technology in 2008. His passion for electronics and communication technology led him to pursue a Master of Science in Electronics and Communication Technology at Adama Science and Technology University in 2014. Currently, he is furthering his expertise as a Ph.D. candidate at the same institution, focusing on electronics and communication engineering, particularly in wireless communication systems and UAV-assisted networks.

Experience

Dr. Negassa has held significant academic and leadership positions. Between 2009 and 2012, he worked as a Senior Instructor at Wonji TVET College, where he taught Electrical and Electronics Technology. From 2014 to 2023, he held the position of College Dean at Wonji Polytechnic College. In this role, he was responsible for leading quality training programs, fostering technology transfer, industry collaboration, and supporting youth projects and job creation initiatives. His leadership and academic experience reflect his dedication to educational development and technical advancement in Ethiopia. Additionally, he has shared his expertise by presenting research at several international conferences.

Research Interests

Dr. Negassa’s research interests lie primarily in the fields of wireless communication systems, UAV-assisted wireless communication, and industrial electronics. He is particularly focused on the integration of machine learning techniques with UAV technologies to improve the localization and performance of wireless networks. His expertise also spans embedded systems, including the use of microcontrollers and real-time operating systems, and the application of signal processing techniques for various engineering challenges. Furthermore, his work includes exploring new solutions to enhance the performance and efficiency of indoor localization systems, as well as developing algorithms for medical image processing, particularly in the detection and classification of liver tumors.

Award

Based on the information provided in Workeneh Geleta Negassa’s curriculum vitae, I believe he is a highly suitable candidate for the Best Researcher Award. His extensive background in research, teaching, and industry collaboration demonstrates his commitment to advancing knowledge in the field of electronics, communication, and embedded systems.ty.

Publication Top Note

W. G. Negassa, D. J. Gelmecha, R. S. Singh, and D. S. Rathee, “Hybrid Machine Learning-Based 3-Dimensional UAV Node Localization for UAV-Assisted Wireless Networks,” Cognitive Robotics, 2025, DOI: 10.1016/j.cogr.2025.01.002.

Conclusion

Dr. Workeneh Geleta Negassa has made significant strides in the fields of electronics, communication systems, and embedded systems. His academic background, combined with his extensive professional experience, positions him as a valuable asset to the research community. His ongoing Ph.D. research on UAV-assisted wireless communication systems promises to contribute further to the advancement of this rapidly evolving field. Dr. Negassa’s passion for technology, his leadership in academia, and his commitment to developing practical, cutting-edge solutions continue to inspire students and researchers alike. As he moves forward in his career, he is poised to make even more substantial contributions to both the academic and technological landscapes of Ethiopia and beyond.

Wako Golicha Wako | Environmental Health | Best Researcher Award

Posted on by sciencefather

Mr. Wako Golicha Wako | Environmental Health | Best Researcher Award

PhD Researcher, University of Edinburgh, United Kingdom

Dr. Wako Golicha Wako is currently a PhD researcher at the School of Health in Social Sciences at The University of Edinburgh, UK. With a passion for improving public health outcomes in Sub-Saharan Africa, he has made significant contributions to research on maternal and child health, infectious diseases, and health system strengthening. His educational background includes a Master of Public Health (MPH) from Hawassa University, Ethiopia, and a Bachelor of Science in Public Health from the same institution. With extensive work experience as a lecturer, researcher, and public health consultant, he has played a pivotal role in academic and health program evaluations across Ethiopia. His research focuses on the health challenges faced by rural populations in Ethiopia and other parts of Sub-Saharan Africa. His work is aimed at creating evidence-based solutions to improve maternal and child health outcomes and strengthen health systems.

Profile

Orcid

Education

Dr. Wako’s academic journey began at Hawassa University, Ethiopia, where he completed his Bachelor of Science in Public Health in 2012, graduating with a CGPA of 3.79/4. He went on to pursue a Master in Public Health at the same institution, where he excelled academically with a CGPA of 3.94/4. Currently, he is pursuing a PhD in Health in Social Science at The University of Edinburgh, UK. His doctoral research is focused on understanding and addressing public health challenges within the Ethiopian context, particularly in rural and underserved communities.

Experience

Dr. Wako has a wealth of experience in teaching, research, and consultancy within the public health sector. He has worked as an assistant professor at Bule Hora University and Woklite University in Ethiopia, where he lectured on public health topics such as epidemiology, research methods, and health systems. In addition, he has served as a research assistant and consultant for multiple international organizations, including Forcier Consulting LLC and Nutrition International, where he played a key role in conducting research on public health programs. His consultancy work has involved evaluating health interventions aimed at improving maternal and child health, managing communicable diseases, and addressing public health emergencies. Through his work with institutions such as UNICEF and Emory University, Dr. Wako has developed expertise in qualitative and quantitative research methods, contributing significantly to the public health landscape in Ethiopia.

Research Interests

Dr. Wako’s primary research interests include maternal and child health, health system strengthening, and epidemiology. His work focuses on identifying and addressing the public health challenges faced by vulnerable populations in Ethiopia and Sub-Saharan Africa, particularly in rural and marginalized areas. He is particularly interested in neonatal care practices, the impact of maternal education on breastfeeding practices, health system diagnostic delays, and the response to public health emergencies such as the COVID-19 pandemic. Through his research, Dr. Wako seeks to generate evidence that informs policy and practice, aiming to improve health outcomes in the region. He also focuses on the role of community-based health interventions and the integration of health systems in rural Ethiopia.

Award

Dr. Wako’s academic excellence has been recognized through various awards. In 2012, he received a Certificate of Academic Excellence from Hawassa University for ranking first among 55 students in his cohort. This acknowledgment highlights his commitment to high standards in public health education and research. He continues to contribute to the field through his dedication to advancing knowledge and public health practice in Ethiopia and beyond.

Publication Top Note

Wako WG, Beyene BN, Wayessa ZJ, Fikrie A, Amaje E. “Assessment of Neonatal Thermal Cares: Practices and Beliefs among Rural Women in West Guji Zone, South Ethiopia: A Cross-sectional Study.” PLOS Glob Public Health, 2022: 2:e0000568.

Wako WG, Wayessa ZJ, Fikrie A. “Effects of Maternal Education on Early Initiation and Exclusive Breastfeeding Practices in Sub-Saharan Africa: A Secondary Analysis of Demographic and Health Surveys from 2015-2019.” BMJ Open, 2022; 12: e054302.

Wayessa ZJ, Wako WG. “Factors Associated with Knowledge of Health Care Workers Toward COVID‐19 in Health Facilities West Guji Zone, Southern Ethiopia, 2020.” J Edu Health Promot, 2022: 11:43.

Wako WG, Wasie A, Wayessa Z, Fikrie A. “Determinants of Health System Diagnostic Delay of Pulmonary Tuberculosis in Gurage and Siltie Zones, South Ethiopia: A Cross-sectional Study.” BMJ Open, 2021; 11(10):e047986.

Fikrie A, Amaje E, Wako WG. “Social Distancing Practice and Associated Factors in Response to COVID-19 Pandemic at West Guji Zone, Southern Ethiopia, 2021: A Community Based Cross-sectional Study.” PLOS One, 2021; 16(12):e0261065.

Abebaw Wasie Kasahun, Haimanot Abebe Adane, Tadele Girum, Wako WG. “Effects of Scaling Up Family Planning on Maternal Survival in Ethiopia: Spectrum Modeling.” International Journal of Women’s Health, 2021; 13:711–716.

Zelalem Jabessa Wayessa, Girma Tufa Melesse, Elias Amaje Hadona, and Wako WG. “Prevalence of Depressive Symptoms Due to COVID-19 and Associated Factors Among Healthcare Workers in Southern Ethiopia.” SAGE Open Medicine, 2021; 9:1–10.

Conclusion

Dr. Wako Golicha Wako’s career exemplifies a commitment to improving public health through research, teaching, and consultancy. With a strong academic background, valuable professional experience, and a focus on addressing pressing health challenges in Sub-Saharan Africa, particularly Ethiopia, he continues to contribute to the field of public health. His research on neonatal care, maternal health, and health systems has gained recognition and serves as a foundation for ongoing public health improvements. Through his work, Dr. Wako is dedicated to translating research into actionable solutions that can lead to better health outcomes in his region and beyond.